2.8 List Methods

Duration: 4 min

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Inside: a video lesson and guided study material.

Module outline

  1. HPSC Interview Preparation: Interview Preparation
  2. Python Language: Introduction to Python, Tokens, Variables, Data Types, I/O, Operators & Expressions, Control Flow & Looping, Collections & Strings, Functions & Modules, File Handling & Data Analysis, DSA using Python
  3. Data Structure & Algorithms: Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs, Hashing, Algorithm Analysis, Sorting Algorithms, Minimum Spanning Trees, Time Complexity Analysis, Graph Theory, Shortest Path Algos
  4. Computer Networks: Introduction to CN, Data Communication, DLL: Access Control, DLL: Flow Control, Data Link Layer - Ethernet, Net Layer: IPv4 & Proto, Net Layer: IP Addressing, Transport Layer Services, TL: Congestion & UDP, Application Layer, Hardware basics, Network Security
  5. Computer System & Organisation: Basics of COA, Cache Memory Organization, Input Output Organisation, Pipelining, Instr Formats & Modes, Control Unit Design, Programming the Basic Computer
  6. Database Management System: Basics of DBMS, ER Diagram, Relational Model & Functional Dependencies, Keys & Integrity Constraints, Normalization (1NF - BCNF), Decomposition Properties & 4NF, SQL, File Organization & Indexing, Transaction Management, Concurrency Control
  7. Operating Systems: Introduction to OS, Process Management, CPU Scheduling, Process Synchronization, Deadlock, Threads & Process Creation, Memory Management, Virtual Memory, Disc Scheduling
  8. Digital Logic & Circuits: Digital Systems & Boolean Basics, Logic Gates & Hardware, Boolean Expression, Boolean Minimization, Combinational Circuit, Sequential Circuits, Number System, Number Representation
  9. Theory Of Computation: Introduction to TOC, Deterministic FA (DFA), Non-Deterministic FA, Regular Expressions, Grammar, Regular Language Properties, Pushdown Automata & CFG, Turing Machines, Moore & Mealy Machines
  10. Compiler Design: Intro to Compilers, Lexical Analysis, Grammar & CFG, Syntax Analysis: Top-Down, Syntax Analysis: Bottom-Up, Semantic Analysis & SDT, Intermediate Code Gen, Code Optimization, Run Time Environment
  11. Software Engineering: Fundamentals of Software Engineering, Software Requirements and Quality Assurance, Software Design, Estimation and Metrics, Software Testing, Software Maintenance and Configuration Management, Data Warehousing & Mining
  12. Introduction to Emerging Trends: Emerging Tech Trends
  13. Digital Society & Cyber Law: Society, Law & Ethics
  14. HPSC PGT Previous Year Paper:
  15. HPSC Assistant Professor Previous Year Paper:
  16. Live Sessions: HPSC Live Sessions, EMRS TGT/PGT Live Class
  17. Full Mock Test:
  18. HPSC PGT - MOCK Test Series:
AI summary & chapters

AI Summary

An AI-generated summary of this video lecture.

This video is a Python programming tutorial focused on list methods. The instructor begins by introducing a table of built-in list methods, such as append(), clear(), copy(), count(), extend(), index(), insert(), pop(), remove(), reverse(), and sort(), explaining their functions. The lesson progresses to practical examples, demonstrating the count() method to find the number of occurrences of an element, the index() method to find the first occurrence of an element, and the sort() and reverse() methods to modify the list's order. The instructor uses a digital whiteboard to write code snippets and illustrate the output of these methods, providing a clear, step-by-step guide for students.

Chapters

  1. 0:00 – 2:00 00:00-02:00

    The video opens with a title slide showing 'List Methods' and the Python logo. The instructor introduces the topic, stating that Python has several built-in methods for lists. A table appears on the screen listing the methods and their descriptions. The instructor points to the 'append()' method, explaining it adds an element to the end of the list. He then moves to the 'clear()' method, which removes all elements, and the 'copy()' method, which returns a copy of the list. He continues through the list, explaining 'count()' (returns the number of elements with a specified value), 'extend()' (adds elements from a list or iterable), 'index()' (returns the index of the first element with a specified value), 'insert()' (adds an element at a specified position), 'pop()' (removes the element at a specified position), 'remove()' (removes the item with a specified value), 'reverse()' (reverses the order of the list), and 'sort()' (sorts the list).

  2. 2:00 – 3:44 02:00-03:44

    The instructor transitions to demonstrating the methods with code examples. He first shows the 'count()' method, writing the code `Alpha=['a','b','a','c','d','d']` and `print(Alpha.count('a'))`, explaining it will return the number of times 'a' appears. Next, he demonstrates the 'index()' method with `print(Alpha.index('a'))`, which returns the index of the first 'a'. He then moves to the 'sort & reverse()' section, showing `Alpha.sort()` and `print(Alpha)` to display the sorted list `[a,a,b,c,d,d]`. He then shows `Alpha.reverse()` and `print(Alpha)` to display the reversed list `[d,d,c,b,a,a]`. The video concludes with a 'Thank You...' slide.

The video provides a comprehensive and structured introduction to Python's list methods. It begins with a theoretical overview of the available methods in a clear table format, ensuring students understand the purpose of each function. The lesson then transitions effectively to a practical, hands-on demonstration, using real code examples to show how each method works in a live environment. This progression from theory to practice is highly effective for learning, as it allows students to see the direct application of the concepts. The instructor's clear explanations and the use of a digital whiteboard to write and execute code make the content accessible and easy to follow.

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